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Dissertations / Theses on the topic 'Vector-structure'

Author: Grafiati

Published: 28 May 2022

Last updated: 31 July 2025

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1

Chuang, Tzu-Shien. "A variable structure space voltage vector controlled switched reluctance flux vector drive." Thesis, University of Warwick, 1997. http://wrap.warwick.ac.uk/106984/.

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Through simulation and experimental investigation this thesis shows that (i) the switched reluctance motor is not different from any other motor in energy conversion theory but the difference is only in the structure and the operating characteristics; (ii) under high loads or high speeds the relative phase angle of the current with respect to the rotor pole must be advanced; (iii) the kinetic energy in the motor can be quickly returned to the d.c. link source or be transferred to other phase windings by the regenerative operation. A synchronous singly-excited control scheme is introduced to th

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2

Belgin, Mehmet. "Structure-based Optimizations for Sparse Matrix-Vector Multiply." Diss., Virginia Tech, 2010. http://hdl.handle.net/10919/30260.

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This dissertation introduces two novel techniques, OSF and PBR, to improve the performance of Sparse Matrix-vector Multiply (SMVM) kernels, which dominate the runtime of iterative solvers for systems of linear equations. SMVM computations that use sparse formats typically achieve only a small fraction of peak CPU speeds because they are memory bound due to their low flops:byte ratio, they access memory irregularly, and exhibit poor ILP due to inefficient pipelining. We particularly focus on improving the flops:byte ratio, which is the main limiter on performance, by exploiting recurring struct

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3

SANTOS, ALEXANDRE JOSE DOS. "TREE-STRUCTURE SMOOTH TRANSITION VECTOR AUTOREGRESSIVE MODELS – STVAR-TREE." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2009. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=15888@1.

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COORDENAÇÃO DE APERFEIÇOAMENTO DO PESSOAL DE ENSINO SUPERIOR<br>Esta dissertação tem como objetivo principal introduzir uma formulação de modelo não-linear multivariado, a qual combina o modelo STVAR (Smooth Transition Vector Autoregressive) com a metodologia CART (Classification and Regression Tree) a fim de utilizá-lo para geração de cenários e de previsões. O modelo resultante é um Modelo Vetorial Auto-Regressivo com Transição Suave Estruturado por Árvores, denominado STVAR-Tree e tem como base o conceito de múltiplos regimes, definidos por árvore binária. A especificação do modelo é feita

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4

Upadhyay, Abhyudaya. "Big Vector: An External Memory Algorithm and Data Structure." University of Cincinnati / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1439279714.

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5

Tsilo, Lipontseng Cecilia. "Protein secondary structure prediction using neural networks and support vector machines." Thesis, Rhodes University, 2009. http://hdl.handle.net/10962/d1002809.

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Predicting the secondary structure of proteins is important in biochemistry because the 3D structure can be determined from the local folds that are found in secondary structures. Moreover, knowing the tertiary structure of proteins can assist in determining their functions. The objective of this thesis is to compare the performance of Neural Networks (NN) and Support Vector Machines (SVM) in predicting the secondary structure of 62 globular proteins from their primary sequence. For each NN and SVM, we created six binary classifiers to distinguish between the classes’ helices (H) strand (E), a

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6

Korff, Matti Gerrit [Verfasser]. "Protein Secondary Structure Prediction Using a Vector Valued Classifier / Matti Gerrit Korff." Berlin : Freie Universität Berlin, 2016. http://d-nb.info/1081935456/34.

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7

Zhong, Wei. "Clustering System and Clustering Support Vector Machine for Local Protein Structure Prediction." Digital Archive @ GSU, 2006. http://digitalarchive.gsu.edu/cs_diss/7.

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Protein tertiary structure plays a very important role in determining its possible functional sites and chemical interactions with other related proteins. Experimental methods to determine protein structure are time consuming and expensive. As a result, the gap between protein sequence and its structure has widened substantially due to the high throughput sequencing techniques. Problems of experimental methods motivate us to develop the computational algorithms for protein structure prediction. In this work, the clustering system is used to predict local protein structure. At first, recurring

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8

THERET, ISABELLE. "Etude des relations structure-dynamique-fonction d'une calciproteine : la calcium vector protein." Paris 6, 2001. http://www.theses.fr/2001PA066235.

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La calcium vector protein (cavp, 18. 3 kda), une calciproteine a motifs ef-hand organisee en deux domaines distincts est abondante dans les muscles, les gonades et la moelle epiniere d'un cephalochordate (amphioxus). Elle est extraite en forte association avec sa proteine cible, la cavpt. Sur les 4 sites de fixation potentiels, seuls les deux sites situes dans le domaine c-terminal sont fonctionnels et fixent des ions calcium avec des affinites tres differentes (ka 3 = 1. 9 10 6 m 1 et ka 4 = 7. 3 10 3 m 1). Afin de determiner les caracteristiques structurales et fonctionnelles, nous avons rea

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9

Reyaz-Ahmed, Anjum B. "Protein Secondary Structure Prediction Using Support Vector Machines, Nueral Networks and Genetic Algorithms." Digital Archive @ GSU, 2007. http://digitalarchive.gsu.edu/cs_theses/43.

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Bioinformatics techniques to protein secondary structure prediction mostly depend on the information available in amino acid sequence. Support vector machines (SVM) have shown strong generalization ability in a number of application areas, including protein structure prediction. In this study, a new sliding window scheme is introduced with multiple windows to form the protein data for training and testing SVM. Orthogonal encoding scheme coupled with BLOSUM62 matrix is used to make the prediction. First the prediction of binary classifiers using multiple windows is compared with single window

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10

Hino, Shinjiro. "Sea Urchin Insulator Protects Lentiviral Vector from Silencing by Maintaining Active Chromatin Structure." Kyoto University, 2004. http://hdl.handle.net/2433/147507.

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11

Phillips, Sarah Katherine. "Measurement of the strange quark contribution to the vector structure of the proton." W&M ScholarWorks, 2009. https://scholarworks.wm.edu/etd/1539623546.

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The goal of the G0 experiment is to determine the contribution of the strange quarks in the quark-antiquark sea to the structure of the nucleon. to this end, the experiment measured parity-violating asymmetries from elastic electron-proton scattering from 0.12 ≤ Q2 ≤ 1.0 (GeV/ c)2 at Thomas Jefferson National Accelerator Facility. These asymmetries come from the interference of the electromagnetic and neutral weak interactions, and are sensitive to the strange quark contributions in the proton. The results from the forward angle measurement, the linear combination of the strange electric and m

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12

Mazanec, Josef. "Exploratory market structure analysis. Topology-sensitive methodology." SFB Adaptive Information Systems and Modelling in Economics and Management Science, WU Vienna University of Economics and Business, 1999. http://epub.wu.ac.at/928/1/document.pdf.

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Given the recent abundance of brand choice data from scanner panels market researchers have neglected the measurement and analysis of perceptions. Heterogeneity of perceptions is still a largely unexplored issue in market structure and segmentation studies. Over the last decade various parametric approaches toward modelling segmented perception-preference structures such as combined MDS and Latent Class procedures have been introduced. These methods, however, are not taylored for qualitative data describing consumers' redundant and fuzzy perceptions of brand images. A completely different meth

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13

Choy, Kin-yee, and 蔡建怡. "On modelling using radial basis function networks with structure determined by support vector regression." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2004. http://hub.hku.hk/bib/B29329619.

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14

Flieger, Johannes C. "Gradable adjectives and the semantics of locatives." Thesis, University of Edinburgh, 2009. http://hdl.handle.net/1842/3995.

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This dissertation develops a semantic model of gradable adjectives such as ‘tall’, ‘good’, ‘big’, ‘heavy’, etc., within a formal semantic theory of locatives we call Locative Structure Semantics (LSS). Our central hypothesis is that gradable adjectives are, semantically, a species of locative expression. The view of gradable adjectives as locatives is inspired by the vector-based semantic models of Vector Space Semantics (VSS), as well as the notion of perspective or point of view, as found in Leonard Talmy’s research on spatial expressions (Talmy [153]) and the tradition of Situation Semantic

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Le, Thu Anh. "An Exploration of the Word2vec Algorithm: Creating a Vector Representation of a Language Vocabulary that Encodes Meaning and Usage Patterns in the Vector Space Structure." Thesis, University of North Texas, 2016. https://digital.library.unt.edu/ark:/67531/metadc849728/.

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This thesis is an exloration and exposition of a highly efficient shallow neural network algorithm called word2vec, which was developed by T. Mikolov et al. in order to create vector representations of a language vocabulary such that information about the meaning and usage of the vocabulary words is encoded in the vector space structure. Chapter 1 introduces natural language processing, vector representations of language vocabularies, and the word2vec algorithm. Chapter 2 reviews the basic mathematical theory of deterministic convex optimization. Chapter 3 provides background on some concepts

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Milz, Sebastian [Verfasser], Eberhard [Akademischer Betreuer] Triesch, and Oliver [Akademischer Betreuer] Schaudt. "On the structure of degree vector sets / Sebastian Horst Ignaz Milz ; Eberhard Triesch, Oliver Schaudt." Aachen : Universitätsbibliothek der RWTH Aachen, 2018. http://d-nb.info/1187251526/34.

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DIAS, MARINA SEQUEIROS. "THE USE OF SUPPORT VECTOR REGRESSION (SVR) IN ESTIMATING THE BRAZILIAN TERM STRUCTURE OF INTEREST RATES." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2007. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=10095@1.

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COORDENAÇÃO DE APERFEIÇOAMENTO DO PESSOAL DE ENSINO SUPERIOR<br>FUNDAÇÃO DE APOIO À PESQUISA DO ESTADO DO RIO DE JANEIRO<br>Nessa dissertação um novo método para previsão da Estrutura a Termo da Taxa de Juros Brasileira - ETTJ brasileira - conhecido como Máquina de Suporte Vetorial para Regressão é investigado, comparando-o com os métodos tradicionais, tais como modelos VAR (Vetor Auto- regressivo) e ECM (Modelos de Correção de Erros). Utiliza-se além dos retornos de títulos de renda fixa, algumas variáveis macro-econômicas, que conforme sugerido no artigo de Evans e Marshall (1998) e ver

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Ferhat, Ipar. "Development and Application of Modern Optimal Controllers for a Membrane Structure Using Vector Second Order Form." Diss., Virginia Tech, 2015. http://hdl.handle.net/10919/53513.

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With increasing advancement in material science and computational power of current computers that allows us to analyze high dimensional systems, very light and large structures are being designed and built for aerospace applications. One example is a reflector of a space telescope that is made of membrane structures. These reflectors are light and foldable which makes the shipment easy and cheaper unlike traditional reflectors made of glass or other heavy materials. However, one of the disadvantages of membranes is that they are very sensitive to external changes, such as thermal load or maneu

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Ali, Khan Syed Irteza. "Classification using residual vector quantization." Diss., Georgia Institute of Technology, 2013. http://hdl.handle.net/1853/50300.

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Residual vector quantization (RVQ) is a 1-nearest neighbor (1-NN) type of technique. RVQ is a multi-stage implementation of regular vector quantization. An input is successively quantized to the nearest codevector in each stage codebook. In classification, nearest neighbor techniques are very attractive since these techniques very accurately model the ideal Bayes class boundaries. However, nearest neighbor classification techniques require a large size of representative dataset. Since in such techniques a test input is assigned a class membership after an exhaustive search the entire training

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20

Knutsson, Sofie. "Towards Mosquitocides for Prevention of Vector-Borne Infectious Diseases : discovery and Development of Acetylcholinesterase 1 Inhibitors." Doctoral thesis, Umeå universitet, Kemiska institutionen, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-119924.

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Diseases such as malaria and dengue impose great economic burdens and are a serious threat to public health, with young children being among the worst affected. These diseases are transmitted by mosquitoes, also called disease vectors, which are able to transmit both parasitic and viral infections. One of the most important strategies in the battle against mosquito-borne diseases is vector control by insecticides and the goal is to prevent people from being bitten by mosquitoes. Today’s vector control methods are seriously threatened by the development and spread of insecticide-resistant mosqu

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Torres, Elizabeth P. "Population structure and gene flow in the Philippine malaria vector Anopheles Flavirostris (LUDLOW) : implicatons for malaria control /." [St. Lucia, Qld.], 2004. http://www.library.uq.edu.au/pdfserve.php?image=thesisabs/absthe18308.pdf.

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22

Wieber, Thomas [Verfasser], and Eberhard [Akademischer Betreuer] Freitag. "Structure Theorems for Certain Vector Valued Siegel Modular Forms of Degree Two / Thomas Wieber ; Betreuer: Eberhard Freitag." Heidelberg : Universitätsbibliothek Heidelberg, 2013. http://d-nb.info/1177381508/34.

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23

Islam, Md Nasrul. "A Balanced Secondary Structure Predictor." ScholarWorks@UNO, 2015. http://scholarworks.uno.edu/td/1995.

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Secondary structure (SS) refers to the local spatial organization of the polypeptide backbone atoms of a protein. Accurate prediction of SS is a vital clue to resolve the 3D structure of protein. SS has three different components- helix (H), beta (E) and coil (C). Most SS predictors are imbalanced as their accuracy in predicting helix and coil are high, however significantly low in the beta. The objective of this thesis is to develop a balanced SS predictor which achieves good accuracies in all three SS components. We proposed a novel approach to solve this problem by combining a genetic algor

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24

Pfadler, Andreas [Verfasser], and Yuri B. [Akademischer Betreuer] Suris. "Bilinear Discretization of Integrable Quadratic Vector Fields: Algebraic Structure and Algebro-Geometric Solutions / Andreas Pfadler. Betreuer: Yuri B. Suris." Berlin : Universitätsbibliothek der Technischen Universität Berlin, 2011. http://d-nb.info/1017355436/34.

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Crespo, Cuaresma Jesus, and Tapas Mishra. "Human Capital, Age Structure and Growth Fluctuations." Taylor & Francis, 2011. http://epub.wu.ac.at/3055/1/HCASGFOct07.pdf.

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This article assesses the empirical relationship between per capita income growth fluctuations and the age-structured human capital variations across four groups of geographically clustered developed and developing countries from spatial perspective. We estimate a spatial Vector Autoregressive (VAR) model of income dynamics where the distance between countries is defined on relational space based on their similarity in appropriation tendency of human capital in the production processes. These distances are computed using a newly developed human capital data set which fully characterizes the de

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Kaija, H. (Helena). "Tartrate-resistant acid phosphatase: three-dimensional structure and structure-based functional studies:studies on the enzyme using recombinant protein produced by baculovirus expression vector system in insect cells." Doctoral thesis, University of Oulu, 2002. http://urn.fi/urn:isbn:9514267761.

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Abstract Osteoporosis is a disease characterized by abnormalities in the amount and architectural arrangement of bone tissue, which leads to impaired skeletal strength and increased susceptibility to fractures. Type 5 tartrate-resistant acid phosphatase (TRACP, AcP5) has been suggested to participate directly in bone resorption. In this study, baculovirus expression vector system in insect cells was used to gain large amounts of recombinant type 5 acid phosphatase for structure determination, structure-based functional studies and production of monoclonal antibodies. Active and inactive forms

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Clayton, Arnshea. "The Relative Importance of Input Encoding and Learning Methodology on Protein Secondary Structure Prediction." Digital Archive @ GSU, 2006. http://digitalarchive.gsu.edu/cs_theses/19.

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In this thesis the relative importance of input encoding and learning algorithm on protein secondary structure prediction is explored. A novel input encoding, based on multidimensional scaling applied to a recently published amino acid substitution matrix, is developed and shown to be superior to an arbitrary input encoding. Both decimal valued and binary input encodings are compared. Two neural network learning algorithms, Resilient Propagation and Learning Vector Quantization, which have not previously been applied to the problem of protein secondary structure prediction, are examined. Input

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Bhattacharjee, Puranjoy. "Correlation Between Computed Equilibrium Secondary Structure Free Energy and siRNA Efficiency." Thesis, Virginia Tech, 2009. http://hdl.handle.net/10919/34643.

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We have explored correlations between the measured efficiency of the RNAi process and several computed signatures that characterize equilibrium secondary structure of the partic- ipating mRNA, siRNA, and their complexes. A previously published data set of 609 exper- imental points was used for the analysis. While virtually no correlation with the computed structural signatures are observed for individual data points, several clear trends emerge when the data is averaged over 10 bins of N â ¼ 60 data points per bin.<p> The strongest trend is a positive linear (r 2 = 0.87) correlation between ln

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Murugandi, Iyyappa Thirunavukkarasu. "A New Representation of Structured Grids for Matrix-vector Operation and Optimization of Doitgen Kernel." The Ohio State University, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=osu1276878729.

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30

Altun, Gulsah. "Machine Learning and Graph Theory Approaches for Classification and Prediction of Protein Structure." Digital Archive @ GSU, 2008. http://digitalarchive.gsu.edu/cs_diss/31.

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Recently, many methods have been proposed for the classification and prediction problems in bioinformatics. One of these problems is the protein structure prediction. Machine learning approaches and new algorithms have been proposed to solve this problem. Among the machine learning approaches, Support Vector Machines (SVM) have attracted a lot of attention due to their high prediction accuracy. Since protein data consists of sequence and structural information, another most widely used approach for modeling this structured data is to use graphs. In computer science, graph theory has been widel

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Hugo, Riel Leon Eklund. "Evaluation of methodologies for determining the age structure and survivorship of Ochlerotatus vigilax and other medically important mosquito vector species in Australia /." [St. Lucia, Qld.], 2004. http://www.library.uq.edu.au/pdfserve.php?image=thesisabs/absthe18159.pdf.

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32

Hadjistylli, Margarita, George K. Roderick, and Judith K. Brown. "Global Population Structure of a Worldwide Pest and Virus Vector: Genetic Diversity and Population History of the Bemisia tabaci Sibling Species Group." PUBLIC LIBRARY SCIENCE, 2016. http://hdl.handle.net/10150/622407.

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The whitefly Bemisia tabaci sibling species (sibsp.) group comprises morphologically indiscernible lineages of well-known exemplars referred to as biotypes. It is distributed throughout tropical and subtropical latitudes and includes the contemporary invasive haplotypes, termed B and Q. Several well-studied B. tabaci biotypes exhibit ecological and biological diversity, however, most members are poorly studied or completely uncharacterized. Genetic studies have revealed substantial diversity within the group based on a fragment of the mitochondrial cytochrome oxidase I (mtCOI) sequence (haplot

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33

Staśto, Anna. "QCD analysis of deep inelastic lepton-hadron scattering in the region of small values of the Bjorken parameter x." Thesis, Durham University, 1999. http://etheses.dur.ac.uk/4515/.

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We present the new framework based on BFKL and DGLAP evolution equations in which the leading in(Q(_2)) and in(l/x) terms are treated on equal footing. We introduce a pair of coupled integro-difFerential equations for the quark singlet and the unintegrated gluon distribution. The observable structure functions are calculated using high energy factorisation approach. We also include the sub-leading in (l/x) effects via consistency constraint. We argue that the use of this constraint leads to more stable solution to the Pomeron intercept than that based on the NLO calculation of the BFKL equatio

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Beebe, Taylor A. "A two host species stage-structured model of West Nile virus transmission." VCU Scholars Compass, 2016. http://scholarscompass.vcu.edu/etd/4225.

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We develop and evaluate a novel host-vector model of West Nile virus (WNV) transmission that incorporates multiple avian host species and host stage-structure (juvenile and adult stages), with both species-specific and stage-specific biting rates of vectors on hosts. We use this model to explore WNV transmission dynamics that occur between vectors and multiple structured host populations as a result of heterogeneous biting rates. Our analysis shows that increased exposure of juvenile hosts results in earlier, more intense WNV transmission when compared to the effects of differential host speci

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Delezoide, Bertrand. "Modèles d'indéxation multimédia pour la description automatique de films de cinéma." Paris 6, 2006. http://www.theses.fr/2006PA066108.

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Uziela, Karolis. "Protein Model Quality Assessment : A Machine Learning Approach." Doctoral thesis, Stockholms universitet, Institutionen för biokemi och biofysik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-137695.

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Many protein structure prediction programs exist and they can efficiently generate a number of protein models of a varying quality. One of the problems is that it is difficult to know which model is the best one for a given target sequence. Selecting the best model is one of the major tasks of Model Quality Assessment Programs (MQAPs). These programs are able to predict model accuracy before the native structure is determined. The accuracy estimation can be divided into two parts: global (the whole model accuracy) and local (the accuracy of each residue). ProQ2 is one of the most successful MQ

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Relovský, Josef. "Zjištění fyzické pozice počítače v Internetu." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2008. http://www.nusl.cz/ntk/nusl-217301.

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This master‘s thesis is formed as a part of the research project for whose analyse is used the worldwide experimental network called PlanetLab. The whole dilemma is engaged by IPTV technology. IPTV is a protocol that makes possible transfer data of a television content over the Internet to the end user. In the IPTV technology the server is a source. These data are presented as a video and audio signal (streem) which are required to deliver to the end users. Some structure, which presents alternate these computers´connection, has been established, because the technology making use of the big pr

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Snyder, Matthew Robert. "Environmental DNA Detection and Population Genetic Patterns of Native and Invasive Great Lakes Fishes." University of Toledo / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1564680483342507.

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Nasar, Abouzied. "Eulerian and Lagrangian smoothed particle hydrodynamics as models for the interaction of fluids and flexible structures in biomedical flows." Thesis, University of Manchester, 2016. https://www.research.manchester.ac.uk/portal/en/theses/eulerian-and-lagrangian-smoothed-particle-hydrodynamics-as-models-for-the-interaction-of-fluids-and-flexible-structures-in-biomedical-flows(507cd0db-0116-4258-81f2-8d242e8984fa).html.

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Fluid-structure interaction (FSI), occurrent in many areas of engineering and in the natural world, has been the subject of much research using a wide range of modelling strategies. However, problems with high levels of structural deformation are difficult to resolve and this is particularly the case for biomedical flows. A Lagrangian flow model coupled with a robust model for nonlinear structural mechanics seems a natural candidate since large distortion of the computational geometry is expected. Smoothed particle Hydrodynamics (SPH) has been widely applied for nonlinear interface modelling a

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Arslan, Hilal. "Machine Learning Methods For Promoter Region Prediction." Master's thesis, METU, 2011. http://etd.lib.metu.edu.tr/upload/12613363/index.pdf.

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Promoter classification is the task of separating promoter from non promoter sequences. Determining promoter regions where the transcription initiation takes place is important for several reasons such as improving genome annotation and defining transcription start sites. In this study, various promoter prediction methods called ProK-means, ProSVM, and 3S1C are proposed. In ProSVM and ProK-means algorithms, structural features of DNA sequences are used to distinguish promoters from non promoters. Obtained results are compared with ProSOM which is an existing promoter prediction method. It is s

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Esteves, Lucas Mangili [UNESP]. "Acionamento de motor de indução trifásico, sujeito a falhas, utilizando controle com estrutura variável e modos deslizantes." Universidade Estadual Paulista (UNESP), 2017. http://hdl.handle.net/11449/148779.

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Submitted by Lucas Mangili Esteves null (lucas82031@aluno.feis.unesp.br) on 2017-02-09T18:36:57Z No. of bitstreams: 1 Dissertação_Lucas_final.pdf: 3159641 bytes, checksum: 2ee0f12201f163a9442f08759eb6e685 (MD5)<br>Approved for entry into archive by LUIZA DE MENEZES ROMANETTO (luizamenezes@reitoria.unesp.br) on 2017-02-14T16:49:23Z (GMT) No. of bitstreams: 1 esteves_lm_me_ilha.pdf: 3159641 bytes, checksum: 2ee0f12201f163a9442f08759eb6e685 (MD5)<br>Made available in DSpace on 2017-02-14T16:49:23Z (GMT). No. of bitstreams: 1 esteves_lm_me_ilha.pdf: 3159641 bytes, checksum: 2ee0f12201f163a9442

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Esteves, Lucas Mangili. "Acionamento de motor de indução trifásico, sujeito a falhas, utilizando controle com estrutura variável e modos deslizantes /." Ilha Solteira, 2017. http://hdl.handle.net/11449/148779.

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Orientador: José Paulo Fernandes Garcia<br>Resumo: Este trabalho apresenta uma análise do motor de indução trifásico (MIT), que é um dos motores mais utilizados em aplicações industriais, e de diferentes metodologias de controle de velocidade aplicadas para este tipo de motor. A princípio realizou-se um estudo do funcionamento do MIT sem nenhum tipo de controle, para somente depois analisar-se tanto técnicas clássicas e já bastante difundidas no controle deste tipo de máquina como também um tipo específico de controlador robusto, a fim de utilizá-lo para substituir os controladores clássicos n

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Jesus, Elisângela Valéria de. "Módulos e grupos abelianos finitamente gerados." Universidade Federal de Sergipe, 2017. https://ri.ufs.br/handle/riufs/6512.

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - CAPES<br>The concept of module M on a ring A can be seen as a generalization of the concept of vector space V over a field K. In this work, we will present definitions, examples and results about modules, our main objective being to demonstrate the theorem of structures for Abelian groups that tells us that every finitely generated abelian group is the direct sum of cyclic subgroups.<br>O conceito de módulo M sobre um anel A pode ser visto como uma generalização do conceito de espaço vetorial V sobre um corpo K. Neste trabalho,

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Greberg, Felix. "Debt Portfolio Optimization at the Swedish National Debt Office: : A Monte Carlo Simulation Model." Thesis, KTH, Matematisk statistik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-275679.

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It can be difficult for a sovereign debt manager to see the implications on expected costs and risk of a specific debt management strategy, a simulation model can therefore be a valuable tool. This study investigates how future economic data such as yield curves, foreign exchange rates and CPI can be simulated and how a portfolio optimization model can be used for a sovereign debt office that mainly uses financial derivatives to alter its strategy. The programming language R is used to develop a bespoke software for the Swedish National Debt Office, however, the method that is used can be usef

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Stingo, Annalaura. "Problèmes d’existence globale pour les équations d’évolution non-linéaires critiques à données petites et analyse semi-classique." Thesis, Sorbonne Paris Cité, 2018. http://www.theses.fr/2018USPCD093.

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Cette thèse est consacrée à l’étude de l’existence globale de solutions pour des équations de Klein-Gordon – ou des systèmes ondes-Klein-Gordon – quasi-linéaires critiques, à données petites,régulières, décroissantes à l’infini, en dimension un ou deux d’espace. On étudie d’abord ce problème pour des équations de Klein-Gordon à non-linéarité cubique en dimension un, pour lesquelles il est connu qu’il y a existence globale des solutions lorsque la non-linéarité vérifie une condition de structure et les données initiales sont petites et à support compact. Nous prouvons que ce résultat est vrai a

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Kutty, Sangeetha. "Enriching XML documents clustering by using concise structure and content." Thesis, Queensland University of Technology, 2011. https://eprints.qut.edu.au/48326/1/Sangeetha_Kutty_Thesis.pdf.

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With the growing number of XML documents on theWeb it becomes essential to effectively organise these XML documents in order to retrieve useful information from them. A possible solution is to apply clustering on the XML documents to discover knowledge that promotes effective data management, information retrieval and query processing. However, many issues arise in discovering knowledge from these types of semi-structured documents due to their heterogeneity and structural irregularity. Most of the existing research on clustering techniques focuses only on one feature of the XML documents, thi

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Lefèvre, Pascal. "Protection des contenus multimédias pour la certification des données." Thesis, Poitiers, 2018. http://www.theses.fr/2018POIT2273/document.

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Depuis plus de vingt ans, l'accès à la technologie est devenu très facile étant donné son omniprésence dans le quotidien de chacun et son faible coût. Cet accès aux technologies du numérique permet à toute personne équipée d'un ordinateur ou d'un smartphone de visualiser et de modifier des contenus digitaux. Avec les progrès en matière de stockage en ligne, la quantité de contenus digitaux tels que le son, l'image ou la vidéo sur internet a explosé et continue d'augmenter.Savoir identifier la source d'une image et certifier si celle-ci a été modifiée ou non sont des informations nécessaires po

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Bigorgne, Léo. "Propriétés asymptotiques des solutions à données petites du système de Vlasov-Maxwell." Thesis, Université Paris-Saclay (ComUE), 2019. http://www.theses.fr/2019SACLS164/document.

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L'objectif de cette thèse est de décrire le comportement asymptotique des solutions à données petites du système de Vlasov-Maxwell. En particulier, on s'attachera à étudier tant le champ électromagnétique que le champ de Vlasov par des méthodes de champs de vecteurs, nous permettant ainsi d'éviter toute contrainte de support sur les données initiales. La structure isotrope du système de Vlasov-Maxwell est d'une importance capitale pour compenser le phénomène de résonance causé par les particules approchant la vitesse de propagation du champ électromagnétique. De ce fait, plusieurs parties de c

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Siqueira, Jorge Cesar. "Dívida pública brasileira 1995-2005: alongamento e perfil de indexação." Pontifícia Universidade Católica de São Paulo, 2007. https://tede2.pucsp.br/handle/handle/9306.

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Made available in DSpace on 2016-04-26T20:48:48Z (GMT). No. of bitstreams: 1 Jorge C Siqueira.pdf: 785030 bytes, checksum: 11ecce584ab79026b6028037746e40c4 (MD5) Previous issue date: 2007-05-16<br>Coordenação de Aperfeiçoamento de Pessoal de Nível Superior<br>ABSTRAT The purpose of this study is to present and discuss the main impacts the indexation profile and the term-structure of the public debt may inflict on the debt´s trajectory. The main result of the study suggests that there may exist a vicious circle stemming from the relationship between the rise of the short-term interest rate of

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Wang, Ren-Zuo, and 王仁佐. "Vector Form Motion Anylysis of Structure." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/27298971416611325177.

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博士<br>國立中央大學<br>土木工程研究所<br>94<br>Vector Form Motion Analysis of Structure Ren-Zuo Wang Abstract In this thesis, a vector form motion analysis method for structure is developed based on the theory of the Vector Form Intrinsic Finite Element (VFIFE, V-5) method. Formulations of the V-5 type planar and spatial truss and frame elements were derived. Besides, incremental elastic-plastic material models, contact analysis algorithm and failure mechanisms are also included into the simulation code. This newly proposed method has profound theoretical content and application simplicity on studying

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